use geopandas built-in dataset

Author: nicolaskruchten

doc/python/choropleth-maps.md

@@ -166,23 +166,19 @@ fig.show()
 
 ### Using GeoPandas Data Frames
 
-`px.choropleth` accepts the `geometry` of a GeoPandas data frame as the input to `geojson` if the `geometry` contains polygons.
+`px.choropleth` accepts the `geometry` of a [GeoPandas](https://geopandas.org/) data frame as the input to `geojson` if the `geometry` contains polygons.
 
 ```python
 import plotly.express as px
 import geopandas as gpd
-import wget
 
-# download and load a zipped shapefile into a GeoDataFrame
-wget.download("https://plotly.github.io/datasets/nyc_boroughs.zip")
-geo_df = gpd.read_file("zip://nyc_boroughs.zip")
+geo_df = gpd.read_file(gpd.datasets.get_path('nybb')).to_crs("EPSG:4326")
 
-
-fig = px.choropleth(geo_df, 
+fig = px.choropleth(geo_df,
                    geojson=geo_df.geometry,
-                   locations=geo_df.index, 
-                   color='shape_leng',
-                   hover_name="boro_name")
+                   locations=geo_df.index,
+                   color='Shape_Leng',
+                   hover_name="BoroName")
 fig.update_geos(fitbounds="locations", visible=False)
 fig.show()
 ```

doc/python/mapbox-county-choropleth.md

@@ -159,22 +159,19 @@ fig.show()
 
 ### Using GeoPandas Data Frames
 
-`px.choropleth_mapbox` accepts the `geometry` of a GeoPandas data frame as the input to `geojson` if the `geometry` contains polygons.
+`px.choropleth_mapbox` accepts the `geometry` of a [GeoPandas](https://geopandas.org/) data frame as the input to `geojson` if the `geometry` contains polygons.
 
 ```python
 import plotly.express as px
 import geopandas as gpd
-import wget
 
-# download and load a zipped shapefile into a GeoDataFrame
-wget.download("https://plotly.github.io/datasets/nyc_boroughs.zip")
-geo_df = gpd.read_file("zip://nyc_boroughs.zip")
+geo_df = gpd.read_file(gpd.datasets.get_path('nybb')).to_crs("EPSG:4326")
 
-fig = px.choropleth_mapbox(geo_df, 
+fig = px.choropleth_mapbox(geo_df,
                            geojson=geo_df.geometry,
-                           locations=geo_df.index, 
-                           color='shape_leng',
-                           hover_name="boro_name",
+                           locations=geo_df.index,
+                           color='Shape_Leng',
+                           hover_name="BoroName",
                            center={"lat": 40.71, "lon": -74.00},
                            mapbox_style="open-street-map",
                            zoom=8)

doc/python/scatter-plots-on-maps.md

@@ -68,7 +68,7 @@ fig.show()
 
 ### Basic Example with GeoPandas
 
-`px.scatter_geo` can work well with GeoPandas dataframes whose `geometry` is of type `Point`.
+`px.scatter_geo` can work well with [GeoPandas](https://geopandas.org/) dataframes whose `geometry` is of type `Point`.
 
 ```python
 import plotly.express as px
@@ -77,8 +77,8 @@ import geopandas as gpd
 geo_df = gpd.read_file(gpd.datasets.get_path('naturalearth_cities'))
 
 px.set_mapbox_access_token(open(".mapbox_token").read())
-fig = px.scatter_geo(geo_df, 
-                    lat=geo_df.geometry.y, 
+fig = px.scatter_geo(geo_df,
+                    lat=geo_df.geometry.y,
                     lon=geo_df.geometry.x,
                     hover_name="name")
 fig.show()

doc/python/scattermapbox.md

@@ -54,7 +54,7 @@ fig.show()
 
 ### Basic Example with GeoPandas
 
-`px.scatter_mapbox` can work well with GeoPandas dataframes whose `geometry` is of type `Point`.
+`px.scatter_mapbox` can work well with [GeoPandas](https://geopandas.org/) dataframes whose `geometry` is of type `Point`.
 
 ```python
 import plotly.express as px
@@ -63,8 +63,8 @@ import geopandas as gpd
 geo_df = gpd.read_file(gpd.datasets.get_path('naturalearth_cities'))
 
 px.set_mapbox_access_token(open(".mapbox_token").read())
-fig = px.scatter_mapbox(geo_df, 
-                        lat=geo_df.geometry.y, 
+fig = px.scatter_mapbox(geo_df,
+                        lat=geo_df.geometry.y,
                         lon=geo_df.geometry.x,
                         hover_name="name",
                         zoom=1)